The importance of spatial resolution for energy modelling has increased in the last years.
Incorporating more spatial resolution in energy models presents wide benefits, but it is not …

A Survey on Clustering Techniques for Big Data Mining Page 1 Indian Journal of Science and
Technology, Vol 9(3), DOI: 10.17485/ijst/2016/v9i3/75971, January 2016 ISSN (Print) …

Abstract The North Sea Offshore Grid concept has been envisioned as a promising
alternative to: 1) ease the integration of offshore wind and onshore energy systems, and 2) …

Suburbanization of Bekasi Regency as a part of the Jakarta Metropolitan Area (JMA) is
mainly induced by urban expansion and industrialization, in which the suburbanization …

Origin–destination flow maps are a popular option to visualize connections between
different spatial locations, where specific routes between the origin and destination are …

In visions of the future of agriculture, it is predicted that Artificial Intelligence and Robotics
will revolutionize farming. Artificial Intelligence (AI) is not always clearly visible to the end …

Wildlife populations are increasingly affected by natural and anthropogenic changes that
negatively alter biotic and abiotic processes at multiple spatiotemporal scales and therefore …

Given the large volume of georeferenced information generated and stored by many types of
devices, the study and improvement of techniques capable of operating with these data is an …

Vehicular traffic volume in large cities has increased in recent years, causing mobility
problems; therefore, the analysis of vehicle flow data becomes a relevant research topic …

As an unsupervised learning method, spatial clustering has emerged to be one of the most
important techniques in the field of agriculture for soil data analysis. Soil data analysis is …